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Multiresolution imaging using golden angle stack‐of‐stars and compressed sensing for dynamic MR urography
Author(s) -
Pandey Abhishek,
Yoruk Umit,
Keerthivasan Mahesh,
Galons JeanPhilippe,
Sharma Puneet,
Johnson Kevin,
Martin Diego R.,
Altbach Maria I.,
Bilgin Ali,
Saranathan Manojkumar
Publication year - 2017
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.25576
Subject(s) - dynamic imaging , compressed sensing , image resolution , computer science , temporal resolution , iterative reconstruction , artificial intelligence , nuclear medicine , renal function , computer vision , physics , image processing , medicine , optics , image (mathematics) , endocrinology , digital image processing
Purpose To develop a novel multiresolution MRI methodology for accurate estimation of glomerular filtration rate (GFR) in vivo. Materials and Methods A three‐dimensional golden‐angle radial stack‐of‐stars (SoS) trajectory was used for data acquisition on a 3 Tesla MRI scanner. Multiresolution reconstruction and analysis was performed using arterial input function reconstructed at 1‐s. temporal resolution and renal dynamic data reconstructed using compressed sensing (CS) with 4‐s temporal resolution. The method was first validated using simulations and the clinical utility of the technique was evaluated by comparing the GFR estimates from the proposed method to the estimated GFR (eGFR) obtained from serum creatinine for 10 subjects. Results The 4‐s temporal resolution CS images minimized streaking artifacts and noise while the 1‐s temporal resolution AIF minimized errors in GFR estimates. A paired t‐test showed that there was no statistically significant difference between MRI based total GFR values and serum creatinine based eGFR estimates ( P = 0.92). Conclusion We have demonstrated the feasibility of multiresolution MRI using a golden angle radial stack‐of‐stars scheme to accurately estimate GFR as well as produce diagnostic quality dynamic images in vivo. Level of Evidence: 1 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2017;46:303–311